Can you explain what Named Entity Recognition (NER) is?
Sure! NER is a subtask of Natural Language Processing that identifies and classifies key entities in text.
What types of entities can NER recognize?
NER can recognize various entities like names of people, organizations, locations, dates, and more.
How is NER used in real-world applications?
It's used in applications like information extraction, chatbots, and search engines to improve understanding of text.
What are some popular NER tools or libraries?
Some popular NER libraries include SpaCy, NLTK, and Stanford NER.
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